code: def setUp(self):
      super(DdpgAgentTest, self).setUp()
      self._obs_spec = [tensor_spec.TensorSpec([2], tf.float32)]
      self._time_step_spec = ts.time_step_spec(self._obs_spec)
      self._action_spec = [
          tensor_spec.BoundedTensorSpec([1], tf.float32, -1, 1)
      ]
  
      network_input_spec = (self._obs_spec, self._action_spec)
      self._critic_net = DummyCriticNetwork(network_input_spec)
      self._bounded_actor_net = DummyActorNetwork(
          self._obs_spec, self._action_spec, unbounded_actions=False
      )
      self._unbounded_actor_net = DummyActorNetwork(
          self._obs_spec, self._action_spec, unbounded_actions=True
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents.agents.ddpg import ddpg_agent
  from tf_agents.networks import network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the DdpgAgentTest obj's underlying member method code with example usage: obj.setUp() without return types